public void giveExtorsionMoney(double amount, Soldiers soldier, Shop shop, Color territory) {
// store money
// distribute money
// 50 persent for capos, then rest for solidiers
System.out.println(
"capo #"
+ this.getIndex()
+ "cummulatedIncome = "
+ cummulatedIncome
+ "extorsionCount = "
+ extorsionCount);
extorsionCount++;
cummulatedIncome += amount * 0.5;
soldier.setMoney(soldier.getMoney() + amount * 0.5);
System.out.println("capo #" + index + " has now: $" + cummulatedIncome);
// draw edges between Capo and by own soldiers extorted shops
Context<Object> context = ContextUtils.getContext(this);
Network<Object> net = (Network<Object>) context.getProjection("network");
net.addEdge(this, shop);
// sanction if money from shop from other territory
if (!territory.equals(familyColor)) {
// decision process --> preliminary! --- TODO: could be implemented
// with EMIL-S
notPermittedExtorsionCount++;
double rnd = RandomHelper.nextDoubleFromTo(0.0, 1.0);
if (rnd <= sanctionProbability) {
soldier.sanction(shop, territory);
sanctionCount++;
}
}
// notify the mandamento
if (this != mandamento.getCapo()) {
mandamento.onExtortMoney(index, cummulatedIncome);
}
}
public void infect() {
GridPoint pt = grid.getLocation(this);
List<Object> humans = new ArrayList<Object>();
for (Object obj : grid.getObjectsAt(pt.getX(), pt.getY())) {
if (obj instanceof Human) {
humans.add(obj);
}
}
if (humans.size() > 0) {
int index = RandomHelper.nextIntFromTo(0, humans.size() - 1);
Object obj = humans.get(index);
NdPoint spacePt = space.getLocation(obj);
Context<Object> context = ContextUtils.getContext(obj);
context.remove(obj);
Zombie zombie = new Zombie(space, grid);
context.add(zombie);
space.moveTo(zombie, spacePt.getX(), spacePt.getY());
grid.moveTo(zombie, pt.getX(), pt.getY());
Network<Object> net = (Network<Object>) context.getProjection("infection network");
net.addEdge(this, zombie);
}
}
@ScheduledMethod(start = 1, interval = 1)
public void step() {
// create colNetwork in hosting context
Context<Object> context = ContextUtils.getContext(this);
Network<Object> colNet = (Network<Object>) context.getProjection("collaboration_network");
Network<Object> userNet = (Network<Object>) context.getProjection("user_network");
Network<Object> articleNet = (Network<Object>) context.getProjection("article_network");
if (!isDone) {
/*
* Neighbourhood Connection Algorithm
*/
// get the grid location of this User
GridPoint pt = grid.getLocation(this);
// use the GridCellNgh class to create GridCells for
// the surrounding neighbourhood
if (pt != null) { // TODO Why NULL?
GridCellNgh<Article> nghCreator =
new GridCellNgh<Article>(
grid, pt, Article.class, neighbourDimensions, neighbourDimensions);
List<GridCell<Article>> gridCells = nghCreator.getNeighborhood(false);
SimUtilities.shuffle(gridCells, RandomHelper.getUniform());
// if an agent exist in the surrounding environment, add an edge with it.
for (GridCell<Article> cell : gridCells) {
if (cell.size() > 0) {
List<Article> cellUsers = new ArrayList<Article>((Collection<Article>) cell.items());
articleToEdit = cellUsers.get((RandomHelper.nextIntFromTo(0, cellUsers.size() - 1)));
if (context != null && colNet != null && cellUsers != null && articleToEdit != null) {
if (!isActiveUser) { // Good Samaritan - one and only one connection
if (colNet.getDegree(articleToEdit) <= 0 // if neighbour is unconnected
&& colNet.getDegree(this) <= 0) { // if our agent is unconnected)
colNet.addEdge(this, articleToEdit);
this.isDone =
true; // this good samaritan is no longer counted in operating agents
}
} else if (!hasGeneralInterest) { // Project Leader zealot (active user),
colNet.addEdge(this, articleToEdit); // connects neighbours in every step
for (Object coopUser : colNet.getAdjacent(articleToEdit)) {
if (coopUser != null && !userNet.containsEdge(userNet.getEdge(this, coopUser))) {
userNet.addEdge(this, coopUser);
}
}
for (Object relatedArticle : colNet.getAdjacent(this)) {
if (relatedArticle != null
&& !articleNet.containsEdge(userNet.getEdge(articleToEdit, relatedArticle))) {
articleNet.addEdge(articleToEdit, relatedArticle);
}
}
}
// For active agent connection algorithm we need to update good article array if found
if (colNet.getDegree(articleToEdit)
> (goodArticleMultiplier * colNet.getDegree() / colNet.size())
&& colNet.getDegree(articleToEdit) > goodArticleConnectionCount
&& !articleToEdit.isGood) {
articleToEdit.isGood = true;
goodArticles.add(articleToEdit);
}
}
break;
}
}
}
/*
* Active Agent Connection Algorithm
*/
if (isActiveUser
&& hasGeneralInterest
&& goodArticles.size() > 0) { // if in administrator career path
articleToEdit = goodArticles.get(RandomHelper.nextIntFromTo(0, goodArticles.size() - 1));
colNet.addEdge(this, articleToEdit); // TODO reduce goodArticles by one?
for (Object coopUser : colNet.getAdjacent(articleToEdit)) {
if (coopUser != null && !userNet.containsEdge(userNet.getEdge(this, coopUser))) {
userNet.addEdge(this, coopUser);
}
}
for (Object relatedArticle : colNet.getAdjacent(this)) {
if (relatedArticle != null
&& !articleNet.containsEdge(userNet.getEdge(articleToEdit, relatedArticle))) {
articleNet.addEdge(articleToEdit, relatedArticle);
}
}
goodArticles.remove(0);
}
this.endRun();
}
}